Transacting via social media interactions

Abstract

Techniques described herein are directed to transacting via social media interactions. In an example, content posted by a first user of a social media service provider and/or response(s) to the content posted by the first user of the social media service can be analyzed by computing system(s) of a payment processing service provider. The response(s) can be associated with second user(s) of the social media service provider. The computing system(s) can determine, based at least in part on the analyzing, an intent of at least the first user or the second user(s) to participate in a transaction for an item depicted in the content and can create a record indicating that item(s) depicted in the content are available for purchase by the second user(s). The record can be created at or near a time that the content is posted by the first user and used for facilitating the transaction.

What is claimed is: 
     
       1. A method comprising:
 determining, by one or more computers of a payment processing service provider and based at least in part on a machine-trained model trained with responses to historical content posted by a social media service provider and transaction data, that content posted by a first user of the social media service provider indicates a selling intent, the content including an item; 
 based at least in part on determining, using the machine-trained model, that the content posted by the first user indicates the selling intent, analyzing, by the one or more computers of the payment processing service provider, a plurality of responses to the content, wherein the plurality of responses are associated with other users of the social media service provider; 
 determining, by the one or more computers of the payment processing service provider, that two or more responses of the plurality of responses include one or more indicators indicating a purchasing intent of two or more second users of the other users to purchase the item depicted in the content; 
 selecting, by the one or more computers of the payment processing service provider, a second user of the two or more second users based at least in part on a criterion; and 
 sending, from the one or more computers of the payment processing service provider and to a computing device operable by the second user of the two one or more second users, an offer to purchase the item. 
 
     
     
       2. The method of  claim 1 , wherein the machine-trained model comprises a first machine-trained model, and wherein analyzing comprises using a second machine-trained model. 
     
     
       3. The method of  claim 1 , wherein the selecting comprises ranking the two or more second users, and wherein the second user is a highest-ranking user of the two or more second users. 
     
     
       4. The method of  claim 3 , wherein the offer comprises a first offer, and the method further comprising:
 determining, by the one or more computers of the payment processing service provider, that the second user does not accept the offer within a predetermined period of time; and 
 sending, by the one or more computers of the payment processing service provider and to a computing device operable by a third user of the two one or more second users, a second offer to purchase the item, wherein the third user is a second highest-ranking user of the two or more second users. 
 
     
     
       5. The method of  claim 1 , wherein the criterion comprises one or more of a first-in-time response, a highest bid, past interactions with the first user, or a score associated with the two or more second users. 
     
     
       6. The method of  claim 1 , wherein the offer is valid for a predetermined period of time. 
     
     
       7. The method of  claim 1 , further comprising:
 determining, by the one or more computers of the payment processing service provider, that the second user accepts the offer within a predetermined period of time; and 
 processing, by the one or more computers of the payment processing service provider, a payment associated with a transaction for the item. 
 
     
     
       8. A system comprising:
 one or more processors; and 
 one or more computer-readable media storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
 determining, based at least in part on a machine-trained model trained with responses to historical content posted by a social media service provider, that content posted by a first user of the social media service provider indicates a selling intent, the content including an item; 
 based at least in part on determining, using the machine-trained model, that the content posted by the first user indicates the selling intent, determining that two or more responses include one or more indicators indicating a purchasing intent of two or more second users to purchase the item depicted in the content; and 
 based at least in part on determining the two or more responses include the one or more indicators, sending, to a computing device operable by a second user of the two or more second users, an offer to purchase the item. 
 
 
     
     
       9. The system of  claim 8 , wherein the two or more responses are determined based at least in part on analyzing responses to the content, wherein the responses are associated with other users of the social media service provider. 
     
     
       10. The system of  claim 8 , the operations further comprising:
 selecting, based at least in part on ranking the two or more second users based at least in part on a criterion, the second user of the two or more second users, wherein the second user is a highest-ranking user of the two or more second users; and 
 sending the offer to the second user. 
 
     
     
       11. The system of  claim 10 , wherein the criterion comprises one or more of a first-in-time response, a highest bid, past interactions with the first user, or a score associated with the two or more second users. 
     
     
       12. The system of  claim 10 , wherein the offer comprises a first offer, the operations further comprising:
 determining that the second user does not accept the offer within a predetermined period of time; and 
 sending, to a computing device operable by a third user of the two one or more second users, a second offer to purchase the item. 
 
     
     
       13. The system of  claim 8 , wherein the offer is valid for a predetermined period of time. 
     
     
       14. The system of  claim 8 , the operations further comprising:
 determining that the second user accepts the offer within a predetermined period of time; and 
 processing a payment associated with a transaction for the item. 
 
     
     
       15. One or more computer-readable media storing instructions that, when executed by one or more processors, cause a system to perform operations comprising:
 determining, based at least in part on a machine-trained model trained with responses to historical content posted by a social media service provider, that content posted by a first user of the social media service provider indicates a selling intent, the content including an item; 
 based at least in part on determining, using the machine-trained model, that the content posted by the first user indicates the selling intent, determining that two or more responses include one or more indicators indicating a purchasing intent of two or more second users to purchase the item depicted in the content; and 
 based at least in part on determining the two or more responses include the one or more indicators, sending, to a computing device operable by a second user of the two or more second users, an offer to purchase the item. 
 
     
     
       16. The one or more computer-readable media of  claim 15 , wherein the offer is valid for a predetermined period of time. 
     
     
       17. The one or more computer-readable media of  claim 15 , wherein the two or more responses are determined based at least in part on analyzing responses to the content, wherein the responses are associated with other users of the social media service provider. 
     
     
       18. The one or more computer-readable media of  claim 17 , wherein the machine-trained model comprises a first machine-trained model, and wherein the analyzing comprises using a second machine-trained model. 
     
     
       19. The one or more computer-readable media of  claim 15 , the operations further comprising:
 selecting, based at least in part on ranking the two or more second users based at least in part on a criterion, the second user of the two or more second users, wherein the second user is a highest-ranking user of the two or more second users; and 
 sending the offer to the second user. 
 
     
     
       20. The one or more computer-readable media of  claim 19 , wherein the criterion comprises one or more of a first-in-time response, a highest bid, past interactions with the first user, or a score associated with the two or more second users.